AI Solutions

In the insurance industry, the push for trustworthy AI is becoming increasingly significant, driven by regulatory bodies and consumer expectations for transparency and fairness in automated decisions. To align with EU guidelines and specific insurance industry regulations from EIOPA and BaFin, insurance companies are advised to adopt frameworks that ensure… Read more: A framework for trustworthy AI in the insurance environment

Diebold Nixdorf, a leader in IT solutions for retail banking and commerce sectors, has implemented AI-driven service engineering to enhance the efficiency of ATM service operations. Initially, ATM malfunctions were identified using basic rules without detailed action plans for technicians. By leveraging AI to analyze historical ATM data and service… Read more: AI-supported service engineering

TechData, a wholesale company with a revenue of $35 billion, implemented a global solution to standardize credit management workflows, leading to significant savings and efficiency gains. By integrating a system that automates credit scoring, monitoring, and currency conversion for financial reporting, the company achieved a 120% improvement in credit department… Read more: Recurring savings through global standardisation of credit workflow

Westaflex, a German family-owned company specializing in climate and ventilation technology, faced challenges in manual production scheduling, which affected efficiency due to its complex requirements and multiple setup processes. To address this, they implemented an AI application that optimized the sequencing of production orders using data from ERP systems and… Read more: AI-supported production planning

Our client, a major manufacturer and distributor of outdoor equipment, required a centralized platform for all its data to enhance advanced analytics of customer and business data. Niologic implemented a data warehouse based on Google BigQuery and developed a time series analysis for shipping, along with a machine learning algorithm… Read more: Time series analysis for shipping outdoor equipment through data warehousing

Our project focused on automating the information extraction process from various data sources such as textual documents and database tables, utilizing Named Entity Recognition (NER) and advanced Language Models (LLMs). The main goal was to create an automated solution that could efficiently extract relevant information using NER and enrich metadata… Read more: Automating Information Extraction with Named Entity Recognition and LLMs

The “PharmaGPT” project aims to make medical information more accessible and understandable, particularly for groups such as the elderly and non-native speakers who struggle with the complex language of medicine package leaflets. To address this, a sophisticated AI-based Retrieval Augmented Generation (RAG) system was developed, capable of navigating and analyzing… Read more: Pharma GPT: Advanced Retrieval Augmented Generation with medical data